Christian Gumbsch

24 papers A* 3B 6Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reframing attention as a reinforcement learning problem for causal discovery. CoRR Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M. Wu
2025	A*	`conf`	SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. ICML Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius
2025	J	`jnl`	SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. CoRR Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius
2024	—	`—`	Learning Event-Based Temporal Abstractions for Hierarchical Prediction and Planning Christian Gumbsch
2024	A*	`conf`	Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
2024	B	`conf`	Modeling auditory voice recognition improvements by face simulation. CogSci Christian Gumbsch, Martin V. Butz, Katharina von Kriegstein
2024	B	`conf`	Modeling the Emergent Development of Inference-based Goal Anticipation in Infants. CogSci Johanna Katharina Theuer, Nadine Nicole Koch, Christian Gumbsch, Birgit Elsner, Martin V. Butz
2022	—	`conf`	Developing hierarchical anticipations via neural network-based event segmentation. ICDL Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz
2022	J	`jnl`	Developing hierarchical anticipations via neural network-based event segmentation. CoRR Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz
2022	J	`jnl`	Inference of Affordances and Active Motor Control in Simulated Agents. CoRR Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2022	J	`jnl`	Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2021	J	`jnl`	Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. IEEE Trans. Cogn. Dev. Syst. Christian Gumbsch, Martin V. Butz, Georg Martius
2021	J	`jnl`	Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference. Cogn. Sci. Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz
2021	B	`conf`	I see where this is going: Modeling the development of infants' goal-predictive gaze. CogSci Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz
2021	B	`conf`	Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	J	`jnl`	Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	A*	`conf`	Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. NeurIPS Christian Gumbsch, Martin V. Butz, Georg Martius
2021	J	`jnl`	Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. CoRR Christian Gumbsch, Martin V. Butz, Georg Martius
2020	J	`jnl`	Hierarchical principles of embodied reinforcement learning: A review. CoRR Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2019	J	`jnl`	Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR Christian Gumbsch, Martin V. Butz, Georg Martius
2017	B	`conf`	A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci Christian Gumbsch, Sebastian Otte, Martin V. Butz
2016	B	`conf`	Learning Behavior-Grounded Event Segmentations. CogSci Christian Gumbsch, Jan Kneissler, Martin V. Butz